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https://github.com/teamcfe/cfe-recommender


https://github.com/teamcfe/cfe-recommender

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README

          

# Recommender

Build a recommendation engine using Django & a Machine Learning technique called Collaborative Filtering.

## Getting Started

1. Clone the project and make it your own. Use branch `start` initially so we can all start in the same place.
```bash
git clone https://github.com/codingforentrepreneurs/recommender
cd recommender
git checkout start
rm -rf .git
git init .
git add --all
git commit -m "My recommender project"
```

2. Create virtual environment and activate it.

```bash
python3.8 -m venv venv
source venv/bin/activate
```
Use `.\venv\Scripts\activate` if on windows

3. Install requirements
```
(venv) python -m pip install pip --upgrade
(venv) python -m pip install -r requirements.txt
```

4. Open VSCode
```bash
code .
```

5. Get to work.

## Helpful Guides
- [Using a Cloud-based Redis Server](https://www.codingforentrepreneurs.com/blog/remote-redis-servers-for-development/)
- [Install Redis on Windows](https://www.codingforentrepreneurs.com/blog/redis-on-windows/)
- [Install Redis on macOS](https://www.codingforentrepreneurs.com/blog/install-redis-mac-and-linux)
- [Celery + Redis + Django Setup Guide](https://www.codingforentrepreneurs.com/blog/celery-redis-django/)